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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 5424
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    Explanations

    times written in the format of hours and minutes followed by am or pm

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     arsen
    -0.67
     appropriation
    -0.64
     folds
    -0.62
    acies
    -0.62
     unders
    -0.61
     curves
    -0.61
     curve
    -0.60
     entitlement
    -0.59
     projects
    -0.59
     diction
    -0.59
    POSITIVE LOGITS
    30
    1.15
    00
    1.05
    08
    1.02
    05
    1.02
    45
    1.01
    09
    1.01
    06
    0.99
    07
    0.99
    04
    0.99
    03
    0.95
    Activations Density 0.053%

    No Known Activations